Jendersie, R.: Model Order Reduction of Linear Discrete-Time Systems. Bachelor, Otto-von-Guericke Universität, Magdeburg (2019)

Pauer, G.: Numerisches Lösen großer dünnbesetzter Matrixgleichungen auf CUDA GPUs. Bachelor, Otto-von-Guericke Universität, Magdeburg (2015)

Werner, S. W. R.: Numerische Berechnung der Eigenwerte großer Hamiltonisch-positiver Matrizen. Bachelor, Otto-von-Guericke Universität, Magdeburg (2014)

Hermann, S.: Simultane iterative Lösung der adjungierten linearen Gleichungssysteme in der dualen Niedrig-Rang ADI Iteration für Lyapunovgleichungen. Bachelor, Otto-von-Guericke Universität, Magdeburg (2014)

Penke, C.: Implementierung der Newton-Iteration zur Berechnung des Signums eines Matrix-Büschels mit Hilfe der MAGMA-Softwarebibliothek. Bachelor, Otto-von-Guericke Universität, Magdeburg (2014)

Baran, B.: Numerisches Lösen großer dünnbesetzter Matrixgleichungen in Python. Bachelor, Otto-von-Guericke Universität, Magdeburg (2013)

Behr, M.: Second Order LQR-Problems in M.E.S.S. Bachelor, Otto-von-Guericke-Universität, Magdeburg (2013)

Hund, M.: Adaptive Berechnung der ADI Shiftparameter in der Niedrig-Rang-Galerkin-ADI. Bachelor, Otto-von-Guericke Universität, Magdeburg (2012)

Przybilla, J.; Pontes Duff, I.; Benner, P.: Model Reduction for Second-Order Systems with Inhomogeneous Initial Conditions. (2022)

Benner, P.; Gugercin, S.; Werner, S. W. R.: A Unifying Framework for Tangential Interpolation of Structured Bilinear Control Systems. (2022)

Goyal, P. K.; Benner, P.: Neural ODEs with Irregular and Noisy Data. (2022)

Benner, P.; Palitta, D.; Saak, J.: Krylov Techniques for Low-Rank ADI. (2022)

Benner, P.; Nakatsukasa, Y.; Penke, C.: A Structure-Preserving Divide-and-Conquer Method for Pseudosymmetric Matrices. (2022)

Benner, P.; Faßbender, H.; Senn, M.-N.: The Hamiltonian Extended Krylov Subspace Method. (2022)

Aumann, Q.; Werner, S. W. R.: Structured Model Order Reduction for Vibro-Acoustic Problems using Interpolation and Balancing Methods. (2022)

Liang, B.; Mitchell, T.; Sun, J.: NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. (2022)

Goyal, P. K.; Benner, P.: Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)

Kweyu, C. M.; Khoromskaia, V.; Khoromskij, B.; Stein, M.; Benner, P.: Solution Decomposition for the Nonlinear Poisson-Boltzmann Equation using the Range-Separated Tensor Format. (2021)

Sarna, N.; Benner, P.: Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)

Mitchell, T.; Van Dooren, P.: Root-max Problems, Hybrid Expansion-Contraction, and Quadratically Convergent Optimization of Passive Systems. submitted to SINUM (2021)

Przybilla, J.; Voigt, M.: Model Reduction of Parametric Differential-Algebraic Systems by Balanced Truncation. (2021)

Himpe, C.; Grundel, S.; Benner, P.: Next-Gen Gas Network Simulation. (2021)

Khattak, M. A.; Ahmad, M. I.; Feng, L.; Benner, P.: Multivariate Moment Matching for Model Order Reduction of Quadratic-Bilinear Systems using Error Bounds. (2021)

Kalosha, J.; Zuyev, A.: Asymptotic Stabilization of a Flexible Beam with an Attached Mass. submiited to Ukrainian Mathematical Journal (2021)

Chellappa, S.; Feng, L.; de la Rubia, V.; Benner, P.: Inf-Sup-Constant-Free State Error Estimator for Model Order Reduction of Parametric Systems in Electromagnetics. (2021)

Jakovcevic Stor, N.; Mitchell, T.; Tomljanovic, Z.; Ugrica, M.: Fast optimization of viscosities for frequency-weighted damping of second-order systems. (2021)

Palitta, D.; Pozza, S.; Simoncini, V.: The Short-term Rational Lanczos Method and Applications. (2021)

Goyal, P. K.; Benner, P.: LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)

Goyal, P. K.; Benner, P.: Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. The Symbiosis of Deep Learning and Differential Equations Workshop at NeurIPS 2021, 9 pages (2021)

Beddig, R. S.; Benner, P.; Dorschky, I.; Reis, T.; Schwerdtner, P.; Voigt, M.; Werner, S. W. R.: Structure-Preserving Model Reduction for Dissipative Mechanical Systems. (2020)